{"id":"W4292826080","doi":"10.1109/jiot.2022.3201082","title":"A Dynamic Hierarchical Framework for IoT-Assisted Digital Twin Synchronization in the Metaverse","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of British Columbia","funders":"National Research Foundation of Korea","keywords":"Computer science; Metaverse; Synchronization (alternating current); Stackelberg competition; Distributed computing; Interoperability; Service (business); Computer network; Human–computer interaction; Virtual reality; World Wide Web; Mathematical economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009430598,0.0006414842,0.0006598108,0.0005407726,0.001078473,0.001560382,0.001849861,0.00100471,0.004322301],"category_scores_gemma":[0.001367169,0.0003254172,0.0007962005,0.000655112,0.001172731,0.002039861,0.002662657,0.001006737,0.0003773797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131291,"about_ca_system_score_gemma":0.0016557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005397487,"about_ca_topic_score_gemma":0.005301253,"domain_scores_codex":[0.9993027,0.0001785991,0.00003685896,0.0001902321,0.0001673777,0.0001242381],"domain_scores_gemma":[0.9995345,0.0001438584,0.00007206835,0.00005425777,0.00008210661,0.0001132206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001211261,0.0001020928,0.001327389,0.0001386142,0.00006509507,0.0007264897,0.0004540054,0.5824233,0.01183434,0.3696581,0.002086822,0.03106257],"study_design_scores_gemma":[0.00001611947,0.0000510623,0.0001710785,0.00001166754,0.000019064,0.00007054499,0.00008177166,0.9654523,0.0006262146,0.03047692,0.003006904,0.00001641418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02306687,0.0002902034,0.9649275,0.0002675379,0.0000690894,0.00009125943,0.000064432,0.0001735611,0.01104959],"genre_scores_gemma":[0.8847888,0.0003491935,0.1093356,0.0001286532,0.00004880929,0.0001827825,0.00009965122,0.0000494048,0.005017057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005397487,"threshold_uncertainty_score":0.01445949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425080890050144,"score_gpt":0.2464792207935391,"score_spread":0.2322284118930376,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}